ML Engineer Intern: Trust & Safety Systems

Stfrancis; Sydney; Hybrid; AUD 45,000 - 60,000; Full time

Job summary

TikTok Internship in Trust & Safety is open to students pursuing a CS degree in Australia. The role focuses on building content safety systems, scalable classifiers and models using ML, NLP and CV techniques.

You will work with cross‑functional teams to improve safety performance and protect the TikTok platform globally. Applicants should be enrolled in an undergraduate or master's program and have interest in ML, data mining, and related AI fields.

Qualifications

• Pursuing an undergraduate or master's degree in computer science or a related technical discipline.
• Experience with ML, data mining or CV topics is beneficial.
• Familiarity with recommender systems, search or advertising projects is a plus.

Responsibilities

• Build industry‑leading content safety systems for TikTok.
• Develop scalable classifiers, tools, models and algorithms using ML, CV and data mining.
• Understand product objectives and improve trust and safety strategy and model performance.
• Collaborate with cross‑functional teams to protect TikTok globally.

Skills

Machine learning

Pattern recognition

NLP

Data mining

Computer vision

Recommendation systems

Search

Advertising

Algorithms

Education

Undergraduate or Postgraduate in CS or related field

Job description

TikTok Internship in Trust & Safety is open to students pursuing a CS degree in Australia. The role focuses on building content safety systems, scalable classifiers and models using ML, NLP and CV techniques.

You will work with cross‑functional teams to improve safety performance and protect the TikTok platform globally. Applicants should be enrolled in an undergraduate or master's program and have interest in ML, data mining, and related AI fields.